Sexual and Reproductive Justice and Health Equity for LGBTQ+ Women.

LGBTQ+ women have long been overlooked in sexual and reproductive health research. However, recent research has established that LGBTQ+ women have unique and specific needs that need to be addressed in order to improve effectiveness of sexual health education and practice with this historically and presently underserved population. Informed by a reproductive justice framework coupled with liberation psychology theory, this review discusses the current state of sexual and reproductive health and technologies among LGBTQ+ women. In particular, we focus on a range of HIV prevention and reproductive technologies and their use and promotion, including the internal condom, abortion, oral contraceptives, dapivirine ring, HIV pre-exposure prophylaxis, intrauterine device, and other less studied options, such as the contraceptive sponge. Grounded in an intersectional framing, this review acknowledges the intersecting systems of oppression that affect multiply marginalized women inequitably and disproportionately. A sociohistorical, critical lens is applied to acknowledge the well-documented racist origins of reproductive health technologies and ongoing coercive practices that have led to medical mistrust among marginalized and stigmatized communities, particularly racialized LGBTQ+ women, women with disabilities, and women who are poor or incarcerated. Moreover, we discuss the urgent need to center LGBTQ+ women in research and clinical care, community-engaged health promotion efforts, affirming non-heteronormative sexual health education, and health policies that prioritize autonomy and dismantle structural barriers for this population. We conclude with recommendations and future directions in this area to remedy entrenched disparities in health.

Funding the pandemic response for Indigenous Peoples: an equity-based analysis of COVID-19 using a Health Equity Impact Assessment (HEIA) Indigenous lens tool.

This study examines the allocation of COVID-19 funding for Indigenous Peoples in Canada, Australia, New Zealand, and the United States during the pandemic's first wave. Indigenous communities, already facing health disparities, systemic discrimination, and historical forces of colonisation, found themselves further vulnerable to the virus. Analysing the funding policies of these countries, we employed a Health Equity Impact Assessment (HEIA) tool and an Indigenous Lens Tool supplement to evaluate potential impacts. Our results identify three major funding equity issues: unique health and service needs, socioeconomic disparities, and limited access to community and culturally safe health services. Despite efforts for equitable funding, a lack of meaningful consultation led to shortcomings, as seen in Canada's state of emergency declaration and legal disputes in the United States. New Zealand stood out for integrating Maori perspectives, showcasing the importance of consultation. The study calls for a reconciliation-minded path, aligning with Truth and Reconciliation principles, the UN Declaration on the Rights of Indigenous Peoples, and evolving government support. The paper concludes that co-creating equitable funding policies grounded in Indigenous knowledge requires partnership, meaningful consultation, and organisational cultural humility. Even in emergencies, these measures ensure responsiveness and respect for Indigenous self-determination.

Developing an interactive reproductive health equity session for pre-clerkship medical students.

In the United States, sexual, reproductive, and perinatal health inequities are well documented and known to be caused by a history of systemic oppression along many axes, including but not limited to race, ethnicity, gender, socioeconomic position, sexual orientation, and disability. Medical schools are responsible for educating students on systems of oppression and their impact on health. Reproductive justice advocates, including lay persons, medical students, and teaching faculty, have urged for integrating the reproductive justice framework into medical education and clinical practice. In response to medical student advocacy, we developed introductory didactic sessions on social and reproductive justice for preclinical medical students. These were created in a team-based learning format and include pre-course primer materials on reproductive justice. During the sessions, students engaged with hypothetical clinical vignettes in small groups to identify oppressive structures that may have contributed to the health outcomes described and potential avenues for contextually relevant and level-appropriate advocacy. The sessions took place in November 2019 (in-person) and 2020 (virtually) and were well attended by students. We highlight our experience, student feedback, and next steps, including further integration of reproductive health equity into medical school curricula in concert with department-wide education for faculty, residents, nursing, and allied health professionals. This introduction to social and reproductive justice can be adapted and scaled across different medical school curricula, enhancing the training of a new generation of physicians to become critically aware of how oppressive structures create health inequities and able to mitigate their impact through their roles as clinicians, researchers, and advocates.

Assessment of Outer and Middle Ear Pathologies in Lilongwe, Malawi.

Outer and middle ear pathologies are known to disproportionately affect low-income countries but data is limited. We aim to quantify the prevalence rate of patients presenting with middle/outer ear pathologies at ABC Hearing Clinic and Training Centre in Lilongwe, Malawi. Audiological consultations (adult and paediatric) from 2018-2020 were reviewed for outer and middle ear pathologies. Secondary outcomes included patient type (private vs. community) compared to otoscopy findings, tympanometry findings, need for follow up, and follow up compliance. Out of 1576 patients reviewed, the proportion of abnormal cases' was 98.2%, with 41.4% being unilateral and 57.4% bilateral. Eighty-three percent presented with outer/middle ear pathologies. 68% of those presented with a pathology often associated with some degree of conductive hearing loss (occluding wax, perforation, discharge, Type B/Type C tympanogram). Average age was 29 + 0.527 years; 41.6% private and 58.2% community patients. Cerumen impaction was most common finding (51%). Higher rates of otoscopic abnormalities and type B tympanograms were noted in community vs. private patient (~40% vs. ~30%; ~70% vs. ~30%). Adherence to follow up was higher for community vs. private patients (29% vs. 17%); ~70% reported subjective improvement upon follow up. The majority required multiple interventions on follow up. Secondary follow up was recommended in 64.8%. A significant disease burden of outer and middle ear pathologies was identified. Further research is required to understand the disease burden and promote health policy.

Addressing Disparities in Pediatric Congenital Heart Disease: A Call for Equitable Health Care.

While significant progress has been made in reducing disparities within the US health care system, notable gaps remain. This article explores existing disparities within pediatric congenital heart disease care. Congenital heart disease, the most common birth defect and a leading cause of infant death, has garnered substantial attention, revealing certain disparities within the US health care system. Factors such as race, ethnicity, insurance coverage, socioeconomic status, and geographic location are all commonalities that significantly affect health disparities in pediatric congenital heart disease. This comprehensive review sheds light on disparities from diverse perspectives in pediatric care, demonstrates the inequities and inequalities leading to these disparities, presents effective solutions, and issues a call to action for providers, institutions, and the health care system. Recognizing and addressing these disparities is imperative for ensuring equitable care and enhancing the long-term well-being of children affected by congenital heart disease. Implementing robust, evidence-based frameworks that promote responsible and safe interventions is fundamental to enduring change.

Temporal trends in disparities in COVID-19 seropositivity among Canadian blood donors.

BACKGROUND: In Canada's largest COVID-19 serological study, SARS-CoV-2 antibodies in blood donors have been monitored since 2020. No study has analysed changes in the association between anti-N seropositivity (a marker of recent infection) and geographic and sociodemographic characteristics over the pandemic. METHODS: Using Bayesian multi-level models with spatial effects at the census division level, we analysed changes in correlates of SARS-CoV-2 anti-N seropositivity across three periods in which different variants predominated (pre-Delta, Delta and Omicron). We analysed disparities by geographic area, individual traits (age, sex, race) and neighbourhood factors (urbanicity, material deprivation and social deprivation). Data were from 420 319 blood donations across four regions (Ontario, British Columbia [BC], the Prairies and the Atlantic region) from December 2020 to November 2022. RESULTS: Seropositivity was higher for racialized minorities, males and individuals in more materially deprived neighbourhoods in the pre-Delta and Delta waves. These subgroup differences dissipated in the Omicron wave as large swaths of the population became infected. Across all waves, seropositivity was higher in younger individuals and those with lower neighbourhood social deprivation. Rural residents had high seropositivity in the Prairies, but not other regions. Compared to generalized linear models, multi-level models with spatial effects had better fit and lower error when predicting SARS-CoV-2 anti-N seropositivity by geographic region. CONCLUSIONS: Correlates of recent COVID-19 infection have evolved over the pandemic. Many disparities lessened during the Omicron wave, but public health intervention may be warranted to address persistently higher burden among young people and those with less social deprivation.

Studying Guaranteed Income in Oncology: Lessons Learned From Launching the Guaranteed Income and Financial Treatment Trial.

By targeting income and financial stress as key social determinants of health, unconditional cash transfers (UCTs) may improve cancer health outcomes and reduce cancer health disparities. Described in policy circles as guaranteed or basic income, UCTs have been shown to improve a range of health outcomes in low-income populations but have not yet been examined as a targeted intervention for people with cancer. This article describes some of the lessons learned from launching the Guaranteed Income and Financial Treatment trial, a two-arm randomized controlled trial of UCTs in oncology, along with a rationale for studying UCTs in people with cancer who have low incomes, and presents an introductory primer on UCT research for oncology clinicians and researchers and future directions for research.

Clustering of Social Determinants of Health as an Indicator of Meaningful Subgroups within an African American Population: Application of Latent Class Analysis.

BACKGROUND: Health disparities between people who are African American (AA) versus their White counterparts have been well established, but disparities among AA people have not. The current study introduces a systematic method to determine subgroups within a sample of AA people based on their social determinants of health. METHODS: Health screening data collected in the West Side of Chicago, an underserved predominantly AA area, in 2018 were used. Exploratory latent class analysis was used to determine subgroups of participants based on their responses to 16 variables, each pertaining to a specific social determinant of health. RESULTS: Four unique clusters of participants were found, corresponding to those with "many unmet needs", "basic unmet needs", "unmet healthcare needs", and "few unmet needs". CONCLUSION: The findings support the utility of analytically determining meaningful subgroups among a sample of AA people and their social determinants of health. Understanding the differences within an underserved population may contribute to future interventions to eliminate health disparities.

Racial and Ethnic Disparities in Cancer Occurrence and Outcomes in Rural United States: A Scoping Review.

BACKGROUND: Cancer is the second-leading cause of death in the United States. Most studies have reported rural versus urban and Black versus White cancer disparities. However, few studies have investigated racial disparities in rural areas. OBJECTIVE: We conducted a literature review to explore the current state of knowledge on racial and ethnic disparities in cancer attitudes, knowledge, occurrence, and outcomes in rural United States. METHODS: A systematic search of PubMed and Embase was performed. Peer-reviewed articles published in English from 2004-2023 were included. Three authors independently reviewed the articles and reached a consensus. RESULTS: After reviewing 993 articles, a total of 30 articles met the inclusion criteria and were included in the present review. Studies revealed that underrepresented racial and ethnic groups in rural areas were more likely to have low cancer-related knowledge, low screening, high incidence, less access to treatment, and high mortality compared to their White counterparts. CONCLUSION: Underrepresented racial and ethnic groups in rural areas experienced a high burden of cancer. Improving social determinants of health may help reduce cancer disparities and promote health.

Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in Pennsylvania.

The incidence of low birthweight is a common measure of public health due to the increased risk of complications associated with infants having low and very low birthweights. Moreover, many factors that increase the risk of an infant having a low birthweight can be linked to the mother's socioeconomic status, leading to large racial/ethnic disparities in its incidence. Our objective is thus to analyze the incidence of low and very low birthweight in Pennsylvania counties by race/ethnicity. Due to the small number of births in many Pennsylvania counties when stratified by race/ethnicity, our methods must walk a fine line: While we wish to leverage spatial structure to improve the precision of our estimates, we also wish to avoid oversmoothing the data, which can yield spurious conclusions. As such, we develop a framework by which we can measure (and control) the informativeness of our spatial model. To analyze the data, we first model the Pennsylvania birth data using the conditional autoregressive model to demonstrate the extent to which it can lead to oversmoothing. We then reanalyze the data using our proposed framework and highlight its ability to detect (or not detect) evidence of racial/ethnic disparities in the incidence of low birthweight.

Inequities in atherosclerotic cardiovascular disease prevention.

Atherosclerotic cardiovascular (CV) disease (ASCVD) prevention encompasses interventions across the lifecourse: from primordial to primary and secondary prevention. Primordial prevention begins in childhood and involves the promotion of ideal CV health (CVH) via optimizing physical activity, body mass index, blood glucose levels, total cholesterol levels, blood pressure, and sleep while minimizing tobacco use. Primary and secondary prevention of ASCVD thereafter centers around mitigating ASCVD risk factors via medical therapy and lifestyle interventions. Disparities in optimal preventive efforts exist among historically marginalized groups in each of these three prongs of ASCVD prevention. Children and adults with a high burden of social determinants of health also face inequity in preventive measures. Inadequate screening, risk factor management and prescription of preventive therapeutics permeate the care of certain groups, especially women, Black, and Hispanic individuals in the United States. Beyond this, individuals belonging to historically marginalized groups also are much more likely to experience other ASCVD risk-enhancing factors, placing them at higher risk for ASCVD over their lifetime. These disparities translate to worse outcomes, with higher rates of ASCVD and CV mortality among these groups. Possible solutions to promoting equity involve community-based youth lifestyle interventions, improved risk-factor screening, and increasing accessibility to healthcare resources and novel preventive diagnostics and therapeutics.

Health information and resources in hospital outpatient waiting areas may not meet the needs of older adults from culturally and linguistically diverse backgrounds: A cross-cultural qualitative study.

BACKGROUND: Health information and resources are often provided in hospital outpatient waiting areas but may not meet the cultural and health literacy needs of older adults from culturally and linguistically diverse (CALD) backgrounds. OBJECTIVES: To explore the perspectives and experiences of Cantonese- and Vietnamese-speaking patients and carers in this setting. METHODS: This qualitative interview-based study was conducted from December 2019 to March 2020 at a single outpatient rehabilitation service located at a tertiary public hospital. Four adult consumers (two older adult patients, two caregivers) from CALD backgrounds participated in semi-structured interviews with bilingual researchers. Data were transcribed, translated and analysed using reflexive thematic analysis. RESULTS: Five themes were developed which highlighted that older adults' language profiles shaped their health information needs and ability to access resources in waiting areas. Cultural factors such as filial responsibility may also influence health information preferences. DISCUSSION: Older consumers from CALD backgrounds did not have equitable access to health information and resources in the waiting area compared with English-literate older adults. CONCLUSION: Health information and resources in waiting areas warrant improving to better meet the needs of older patients from CALD backgrounds and their caregivers.

Identifying Physician Public Health Competencies to Address Healthcare Needs in Underserved, Border, and Outer Island Areas of Indonesia: A Rapid Assessment.

Phenomenon: Most medical schools in Indonesia have developed innovations to integrate public health content into the curricula. However, ensuring that all schools meet appropriate standards regarding the quality of subjects, content relevancy, and course delivery takes time and effort. Approach: This study employed a rapid assessment procedure to identify the current knowledge and competencies required to practice medicine effectively in underserved, border, and outer island areas of Indonesia. Ninety-three participants from six remote districts were involved in 12 focus group discussions. Qualitative data were analyzed using content analysis using the social determinants of health as a guiding framework. Findings: Under decentralized health system governance, the local socio-geographical context is critical to understanding the current public health landscape. Medical education with respect to public health must emphasize physicians' ability to advocate and encourage the coordination of healthcare services in responding to disasters, as well as community-based surveillance and other relevant data for synergistic disease control. As part of a healthcare facility management team, prospective doctors should be able to apply systems thinking and provide critical input to improve service delivery at local health facilities. Also, recognizing underlying factors is essential to realizing effective interprofessional collaboration practices and aligning them with leadership skills. Insights: This study outlines recommendations for medical schools and relevant colleges in formulating compulsory block or integrated public health curricula. It also provides a public health learning topic that may aid medical schools in training their students to be competent for practice in underserved, border, and outer island areas. Medical schools should offer initiatives for students to acquire the necessary public health competencies merited by the population's health needs.

Predictors of stool deoxyribonucleic acid test use in the United States: Implications for outreach to under-resourced populations.

OBJECTIVE: Although colorectal cancer screening (CRCS) is a public health priority, uptake is suboptimal in under-resourced groups. Noninvasive modalities, including stool deoxyribonucleic acid (sDNA) testing, may mitigate economic, geographic, cultural, or impairment-related barriers to CRCS. We assessed use of sDNA testing and other CRCS modalities in U.S. residents, comparing subgroups defined by several social determinants of health (SDOH). METHODS: A nationally representative sample of community-dwelling respondents aged 50-75 years self-reported use of CRCS modalities in the 2020 Behavioral Risk Factor Surveillance System Survey. Statistical analyses assessed up-to-date screening status and choice of modality in the recommended screening interval. RESULTS: Of 179,833 sampled respondents, 60.8% reported colonoscopy, 5.7% sDNA testing, 5.5% another modality. The rate of up-to-date screening was 72.0% overall and negatively associated with Hispanic ethnicity (63.6%), lower educational and annual income levels (e.g.,

Opportunity and accessibility: an environmental scan of publicly available data repositories to address disparities in healthcare decision-making.

BACKGROUND: Health disparities, starkly exposed and exacerbated by coronavirus disease 2019, pose a significant challenge to healthcare system access and health outcomes. Integrating health inequalities into health technology assessment calls for robust analytical methodologies utilizing disaggregated data to investigate and quantify the scope of these disparities. However, a comprehensive summary of population datasets that can be used for this purpose is lacking. The objective of this review was to identify publicly accessible health inequalities data repositories that are potential resources for healthcare decision-making and future health technology assessment submissions. METHODS: An environmental scan was conducted in June of 2023 of six international organizations (World Health Organization, Organisation for Economic Co-operation and Development, Eurostat, United Nations Inter-agency Group for Child Mortality Estimation, the United Nations Sustainable Development Goals, and World Bank) and 38 Organisation for Economic Co-operation and Development countries. The official websites of 42 jurisdictions, excluding non-English websites and those lacking English translations, were reviewed. Screening and data extraction were performed by two reviewers for each data repository, including health indicators, determinants of health, and health inequality metrics. The results were narratively synthesized. RESULTS: The search identified only a limited number of country-level health inequalities data repositories. The World Health Organization Health Inequality Data Repository emerged as the most comprehensive source of health inequality data. Some country-level data repositories, such as Canada's Health Inequality Data Tool and England's Health Inequality Dashboard, offered rich local insights into determinants of health and numerous health status indicators, including mortality. Data repositories predominantly focused on determinants of health such as age, sex, social deprivation, and geography. CONCLUSION: Interactive interfaces featuring data exploration and visualization options across diverse patient populations can serve as valuable tools to address health disparities. The data they provide may help inform complex analytical methodologies that integrate health inequality considerations into healthcare decision-making. This may include assessing the feasibility of transporting health inequality data across borders.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

A system-wide approach to digital equity: the Digital Access Coordinator program in primary care.

INTRODUCTION: The transition to digital tools prompted by the pandemic made evident digital disparities. To address digital literacy gaps, we implemented a system-wide digital navigation program. METHODS: The Digital Access Coordinator (DAC) program consists of 12 multilingual navigators who support patients in enrolling and using the patient portal and digital tools. We implemented the program in our primary care network which consists of 1.25 million patients across 1211 clinicians. RESULTS: From May 2021 to November 2022, the DACs completed outreach to 16 045 patients. Of the 13 413 patients they reached, they successfully enrolled 8193 (61%) patients in the patient portal. Of those patients they enrolled, most patients were of Other race, Hispanic ethnicity, and were English-speaking (44%) and Spanish-speaking patients (44%). Using our embedded model, we increased enrollment across 7 clinics (mean increase: 21.3%, standard deviation: 9.2%). Additionally, we identified key approaches for implementing a digital navigation program. CONCLUSION: Organizations can support patient portal enrollment, a key part of digital health equity, by creating and prioritizing digital navigation programs.